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Polynomially solvable cases of the constant rank unconstrained quadratic 0-1 programming problem

机译:常秩无约束二次0-1规划问题的多项式可解情况

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摘要

In this paper we consider the constant rank unconstrained quadratic 0-1 optimization problem, CR-QP01 for short. This problem consists in minimizing the quadratic function (x, Ax) + (c, x) over the set {0,1}(n) where c is a vector in R-n and A is a symmetric real n x n matrix of constant rank r.
机译:在本文中,我们考虑常数秩无约束二次0-1优化问题,简称CR-QP01。这个问题在于将集合{0,1}(n)上的二次函数(x,Ax)+(c,x)最小化,其中c是R-n中的向量,A是常数秩r的对称实n x n矩阵。

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